Sustainability and Resilience: Digital Technologies for GHG Scope 3

Abstract

The present sustainability, resiliency, and climate agenda status constituted by the Paris Agreement and the United Nations Sustainable Development Goals 17 (UN SDG17) stands behind the approved milestones for 2030 and 2050. The causes that indicate little progress are insufficient digital technologies, scientific programs, education, literacy, and standardization. The article considers GHG Scope 3 from the perspective of the supply chain. Another feature is an attempt to bridge law, finance, and technology to reach carbon reduction and other objectives. Environmental, Social, and Governance (ESG) metrics with the UN SDG17 help to shape criteria for measurement, risks, and progress assessments. Understanding industries intrinsically linked with implementing digital technologies, collecting relevant data, and human- computer cooperation for the following solutions. As a result, the critical infrastructure, energy, and other systems become more stable, durable, robust, resilient, and sustainable. The article aims to increase awareness of how digital technology implies assessing and reducing GHG Scope 3. The stakeholders (business, citizens, and government) should ensure sustainability and resiliency for different industries across the supply chain. Based on the open sources, primary and secondary data and own expertise, the author spells out the current status, gaps and objectives in the actual practice. Researchers and regulators collect reliable data by addressing triads of the Internet of Things (IoT), Clouds, and Artificial Intelligence (AI), together with big data and innovative ICT. However, constraints with data evoke a necessity to turn to the mix of paperwork and human-computing cooperation across the supply chain. The author describes benchmarks and digital platforms, access to physical data, a conundrum of the ‘suppliers long tail’, and research and development internalization. When companies turn to the implementation phase, it entails dealing with clouds, big data, data processing, sensors and robotics, and hardware and software. All data is supposed to be verified by credible providers.